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Obstacle avoidance path planning by the Extended VGraph Algorithm

机译:扩展VGraph算法规划避障路径规划

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In many path planning algorithms, attempts are made to optimize the path between the start and the goal in terms of Euclidean distance. Since the moving object is shrunk to a point in the configuration space, findpath can be formulated as a graph searching problem. This is known as the VGraph Algorithm. Lozano-Perez points out the drawbacks of the VGraph Algorithm. The first drawback is related with rotation of a moving object. This drawback can be solved by using the sliced projection method. However, the VGraph Algorithm has serious drawbacks when the obstacles are three-dimensional. The Extended VGraph Algorithm is proposed to solve the drawbacks of the VGraph Algorithm by using the Recursive Compensation Algorithm. The Recursive Compensation Algorithm is proposed to find the collision-free shortest path in 3D and it is proved to guarantee the convergence of the shortest path in 3D without increasing the complexity of the VGraph.

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